[X] Close
You are about to erase all the values you have customized, search history, page format, etc.
Click here to RESET all values       Click here to GO BACK without resetting any value
Item 1 of about 1
1. Kim JJ, Pezik P, Rebholz-Schuhmann D: MedEvi: retrieving textual evidence of relations between biomedical concepts from Medline. Bioinformatics; 2008 Jun 1;24(11):1410-2
PDF icon [Fulltext service] Download fulltext PDF of this article and others, as many as you want.

  • [Source] The source of this record is MEDLINE®, a database of the U.S. National Library of Medicine.
  • [Title] MedEvi: retrieving textual evidence of relations between biomedical concepts from Medline.
  • Search engines running on MEDLINE abstracts have been widely used by biologists to find publications that are related to their research.
  • The existing search engines such as PubMed, however, have limitations when applied for the task of seeking textual evidence of relations between given concepts.
  • The limitations are mainly due to the problem that the search engines do not effectively deal with multi-term queries which may imply semantic relations between the terms.
  • To address this problem, we present MedEvi, a novel search engine that imposes positional restriction on occurrences matching multi-term queries, based on the observation that terms with semantic relations which are explicitly stated in text are not found too far from each other.
  • MedEvi further identifies additional keywords of biological and statistical significance from local context of matching occurrences in order to help users reformulate their queries for better results.
  • AVAILABILITY: http://www.ebi.ac.uk/tc-test/textmining/medevi/
  • [MeSH-major] Abstracting and Indexing as Topic / methods. Artificial Intelligence. Database Management Systems. Information Storage and Retrieval / methods. MEDLINE. Natural Language Processing. Vocabulary, Controlled

  • [Email] Email this result item
    Email the results to the following email address:   [X] Close
  • [Cites] Bioinformatics. 2005 Sep 1;21 Suppl 2:ii252-8 [16204114.001]
  • [Cites] Pac Symp Biocomput. 2002;:326-37 [11928487.001]
  • [Cites] Bioinformatics. 2007 Jan 15;23(2):e237-44 [17237098.001]
  • (PMID = 18400773.001).
  • [ISSN] 1367-4811
  • [Journal-full-title] Bioinformatics (Oxford, England)
  • [ISO-abbreviation] Bioinformatics
  • [Language] eng
  • [Publication-type] Journal Article; Research Support, Non-U.S. Gov't
  • [Publication-country] England
  • [Other-IDs] NLM/ PMC2387223
  •  go-up   go-down


Advertisement





Advertisement